From c42be746219ee5456289c642905e4c0dd299a85a Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 23 Mar 2022 16:07:09 -0700 Subject: [PATCH] Add attrib / comments about Swin-S3 (AutoFormerV2) weights --- timm/models/swin_transformer.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/timm/models/swin_transformer.py b/timm/models/swin_transformer.py index b8262749..ef87dc88 100644 --- a/timm/models/swin_transformer.py +++ b/timm/models/swin_transformer.py @@ -4,6 +4,9 @@ A PyTorch impl of : `Swin Transformer: Hierarchical Vision Transformer using Shi Code/weights from https://github.com/microsoft/Swin-Transformer, original copyright/license info below +S3 (AutoFormerV2, https://arxiv.org/abs/2111.14725) Swin weights from + - https://github.com/microsoft/Cream/tree/main/AutoFormerV2 + Modifications and additions for timm hacked together by / Copyright 2021, Ross Wightman """ # -------------------------------------------------------- @@ -669,7 +672,7 @@ def swin_large_patch4_window7_224_in22k(pretrained=False, **kwargs): @register_model def swin_s3_tiny_224(pretrained=False, **kwargs): - """ Swin-S3-T @ 224x224, ImageNet-1k + """ Swin-S3-T @ 224x224, ImageNet-1k. https://arxiv.org/abs/2111.14725 """ model_kwargs = dict( patch_size=4, window_size=(7, 7, 14, 7), embed_dim=96, depths=(2, 2, 6, 2), @@ -679,7 +682,7 @@ def swin_s3_tiny_224(pretrained=False, **kwargs): @register_model def swin_s3_small_224(pretrained=False, **kwargs): - """ Swin-S3-S @ 224x224, trained ImageNet-1k + """ Swin-S3-S @ 224x224, trained ImageNet-1k. https://arxiv.org/abs/2111.14725 """ model_kwargs = dict( patch_size=4, window_size=(14, 14, 14, 7), embed_dim=96, depths=(2, 2, 18, 2), @@ -689,7 +692,7 @@ def swin_s3_small_224(pretrained=False, **kwargs): @register_model def swin_s3_base_224(pretrained=False, **kwargs): - """ Swin-S3-B @ 224x224, trained ImageNet-1k + """ Swin-S3-B @ 224x224, trained ImageNet-1k. https://arxiv.org/abs/2111.14725 """ model_kwargs = dict( patch_size=4, window_size=(7, 7, 14, 7), embed_dim=96, depths=(2, 2, 30, 2),